Evaluation of initial prostate cancer biopsies utilizing 3D open-top light-sheet microscopy for detection of early disease.

BACKGROUND: Open-top light-sheet (OTLS) microscopy is a technique that allows for high-resolution 3D imaging of tissue specimens and can therefore provide a more detailed assessment of tissue architecture. Given that Gleason grading is based on tissue architecture, we hypothesized that OTLS microscopy would enable us to survey a larger amount of tissue and detect occult prostate cancers in men who had prostate core biopsy specimens initially classified as being benign-appearing who later developed clinically significant prostate cancers. METHODS: Benign appearing tissue (based on routine pathologic evaluation) from 20 patients who subsequently developed a clinically significant prostate cancer (experimental group) was evaluated with OTLS microscopy and compared to tissue from 20 patients who underwent prostate biopsy and never developed a clinically significant prostate cancer (control group). We compared the incidence of detectable prostate cancer between groups. RESULTS: Baseline clinical characteristics were similar between the experimental and control groups. Three patients (15%) in the control group and one (5%) in the experimental group had suspicious findings on low-resolution OTLS microscopy. Higher resolution OTLS imaging revealed two patients (10%) in the control group had an occult prostate cancer, while no occult cancers were found in the experimental group. CONCLUSION: In spite of a high pretest probability for the presence of an occult prostate cancer, we did not identify cancer in our experimental group. This may be due to under-sampling at the time of prostate needle biopsy.

Multiresolution nondestructive 3D pathology of whole lymph nodes for breast cancer staging.

SIGNIFICANCE: For breast cancer patients, the extent of regional lymph node (LN) metastasis influences the decision to remove all axillary LNs. Metastases are currently identified and classified with visual analysis of a few thin tissue sections with conventional histology that may underrepresent the extent of metastases. AIM: We sought to enable nondestructive three-dimensional (3D) pathology of human axillary LNs and to develop a practical workflow for LN staging with our method. We also sought to evaluate whether 3D pathology improves staging accuracy in comparison to two-dimensional (2D) histology. APPROACH: We developed a method to fluorescently stain and optically clear LN specimens for comprehensive imaging with multiresolution open-top light-sheet microscopy. We present an efficient imaging and data-processing workflow for rapid evaluation of H&E-like datasets in 3D, with low-resolution screening to identify potential metastases followed by high-resolution localized imaging to confirm malignancy. RESULTS: We simulate LN staging with 3D and 2D pathology datasets from 10 metastatic nodes, showing that 2D pathology consistently underestimates metastasis size, including instances in which 3D pathology would lead to upstaging of the metastasis with important implications on clinical treatment. CONCLUSIONS: Our 3D pathology method may improve clinical management for breast cancer patients by improving staging accuracy of LN metastases.

Diagnosing 12 prostate needle cores within an hour of biopsy via open-top light-sheet microscopy.

SIGNIFICANCE: Processing and diagnosing a set of 12 prostate biopsies using conventional histology methods typically take at least one day. A rapid and accurate process performed while the patient is still on-site could significantly improve the patient's quality of life. AIM: We develop and assess the feasibility of a one-hour-to-diagnosis (1Hr2Dx) method for processing and providing a preliminary diagnosis of a set of 12 prostate biopsies. APPROACH: We developed a fluorescence staining, optical clearing, and 3D open-top light-sheet microscopy workflow to enable 12 prostate needle core biopsies to be processed and diagnosed within an hour of receipt. We analyzed 44 biopsies by the 1Hr2Dx method, which does not consume tissue. The biopsies were then processed for routine, slide-based 2D histology. Three pathologists independently evaluated the 3D 1Hr2Dx and 2D slide-based datasets in a blinded, randomized fashion. Turnaround times were recorded, and the accuracy of our method was compared with gold-standard slide-based histology. RESULTS: The average turnaround time for tissue processing, imaging, and diagnosis was 44.5 min. The sensitivity and specificity of 1Hr2Dx in diagnosing cancer were both >90 % . CONCLUSIONS: The 1Hr2Dx method has the potential to improve patient care by providing an accurate preliminary diagnosis within an hour of biopsy.